Abstract 1875P
Background
Technological innovations made rapid progress in the last years and are expected to play a growing role in the decision-making process. ChatGPT, a new chatbot that uses deep learning to mimic human language processing, has increased. In the health domain, ChatGPT could support healthcare delivery thanks to its language models and ability to simulate human conversational manner. Even if the advantages are multiple, there are some psycho-social and ethical aspects related to the implementation of these technologies that remain open.
Methods
This study examines psychological challenges associated with using ChatGPT to clarify its role in screening decisions. Forty-one participants (aged M=29.8) were provided with a scenario describing a hypothetical conversation between ChatGPT and a user who has received an oncological breast or prostate diagnosis report. Successively, each participant answered questions about concerns related to the chatbot, intention to use, decision-making process, and emotional activation.
Results
Descriptive analysis highlighted that 58.5% (n= 24) of participants have already used ChatGPT, but only 0.05% (n= 2) use the chatbot for healthcare purposes. 31.7% (n= 13) of participants reported the absence of fears about using the chatbot for oncological purposes, whereas the remaining 68.3% (n= 28) confirmed the presence of several concerns. Specifically, participants reported concerns about the risks related to data privacy and possible conflict of interest related to developers (n= 2). Other participants described the ChatGPT elaboration processes as a "black box" and highlighted doubts about the correct use of the results (n= 13). Additionally, some participants (n= 8) highlighted the risk that ChatGPT could generate hypochondriacal symptoms and inappropriate healthcare practices. Lastly, participants showed a fear that ChatGPT could replace human doctors in healthcare practice (n=6).
Conclusions
Current results will contribute to understanding the general population's attitude towards ChatGPT and its possible uses in the health domain.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
1855P - Assessment of depression and anxiety among adult patients with solid tumours admitted in national institute of cancer research & hospital
Presenter: Salman Al Ayub
Session: Poster session 05
1857P - Psychological distress in Georgian cancer patients undergoing chemotherapy: Before and after the COVID-19 pandemic
Presenter: Mariam Abuladze
Session: Poster session 05
1858P - Discrepancies between psychological stress and emotional care in cancer patients revealed in a social listening analysis
Presenter: Dalyong Kim
Session: Poster session 05
1859P - Digital goal management training as treatment for cognitive impairment in cervical cancer survivors: A feasibility study
Presenter: Elisabeth Areklett
Session: Poster session 05
1860P - Objective and subjective neurocognitive functioning (NCF) in advanced cancer survivors treated with immune checkpoint blockade (ICB)
Presenter: Nathalie Vanlaer
Session: Poster session 05
1861P - A randomized controlled trial on the efficacy and safety of the Untire app for moderate-to-severe cancer-related fatigue in German patients
Presenter: Simon Spahrkäs
Session: Poster session 05
1862P - Measuring the prevalence of fatigue in children with cancer: Evidence from Egypt
Presenter: Nourhan Abdalkader
Session: Poster session 05
1863P - Compassion fatigue among the staff involved in medical carcinology services
Presenter: Nouha Abidi
Session: Poster session 05
1864P - To what extent do nulliparous, female adolescents and young adults diagnosed with cancer have children after cancer treatment?
Presenter: Line Bentsen
Session: Poster session 05
1865P - Women with elderly early-stage breast cancer with type A personality may have decreased self-esteem after chemotherapy: A pilot study (POSEIDON Study)
Presenter: Ozgur Tanriverdi
Session: Poster session 05